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SciPy 2015 NumPy tutorial
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========================================== SciPy2015 tutorial: Introduction to NumPy ========================================== This repository contains all the material needed by students registered for the Numpy tutorial of **SciPy 2015** (http://scipy2015.scipy.org/ehome/115969/289057/?&) on July Mon July 6th 2015. For a smooth experience, you will need to make sure that you install or update your python distribution and download the tutorial material **before** the day of the tutorial as the wifi at the ATT center can be flakey. Python distribution and Packages needed ======================================= If you don't already have a working python distribution, by far the easiest way to get everything you need for this tutorial is to download Enthought Canopy (https://store.enthought.com/, the free version is enough), or Continuum's Anaconda (http://continuum.io/downloads). If you have a choice I recommend you grab a Python 2.7 distribution. That is what I will be using and my material as been tested with that. If you have a Python 3.3+ version, you should be fine, though in some of the solution files, you might have to replace a print statement by the print function. If you do, you will need to make sure that you install or update all needed packages. To be able to run the examples, demoes and exercises, you must have the following packages installed: - numpy 1.8+ - matplotlib 1.4+ - ipython 2.0+ (for running, experimenting and doing exercises) - nose (only to test your distribution, see below) To test your installation, please execute the :py:`check_env.py` script: $ python check_env.py .... ---------------------------------------------------------------------- Ran 4 tests in 0.162 s OK Content needed =============== This github repository is all that is needed in terms of tutorial content. To install it on your machine, you will need a git client and then to clone this repository. Make sure to update that clone *before* coming to the tutorial on Monday morning to catch any update. Step1: Install a git client --------------------------- * Windows --------- A good git client for Windows can be downloaded at http://www.git-scm.com/downloads. When you install git, you will be asked where to make git available from and what kind of line ending policy you prefer. If you are not sure, we recommend that you allow to run git from the command prompt if possible, as it is more flexible than only running git from the git bash tool that comes with it. Also, for line ending, the option commonly chosen is **Checkout Windows-Style, commit unix-style line endings**. * Mac OSX --------- If you don't already have git available, a good git client for Windows can be downloaded at http://www.git-scm.com/downloads. It installs git in /usr/local/git/bin/, so to have it available from any terminal, you will want to make sure that location is on your PATH environment variable. * Linux ------- The easiest on Linux is to install git from your distro's package manager (yum for redhat based distros, apt-get for Ubuntu, ...). For example on Ubuntu, it should be enough to type:: $ sudo apt-get install git Step2: Download the material (all platforms) -------------------------------------------- Once git is available, you will need to clone this repository to get all the content needed during the tutorial. Its HTTPS URL is https://github.com/enthought/Numpy-Tutorial-SciPyConf-2015.git. To do that, you should be able to start a command prompt/terminal (or the git bash prompt if you chose to only make git accessible from there) and type:: $ git clone https://github.com/enthought/Numpy-Tutorial-SciPyConf-2015.git That will create a new folder named SciPy2015_numpy_tutorial/ with all the content you will need: the slides I will go through (slides.pdf), and a folder of exercises. As you get closer to the day of the tutorial, it is highly recommended to update this repository, as I will be improving it this week. To update it, open a command prompt, move **into** the SciPy2015_numpy_tutorial/ folder and run:: $ git pull Questions? Problems? ==================== Questions? Problems? Don't wait, shoot me and the rest of the group an email on the tutorial mailing list: https://groups.google.com/forum/#!forum/scipy2015-numpy-tutorial